Skip to main content
padlock icon - secure page this page is secure

A Large Sample Empirical Typology of Male Spouse Abusers and Its Relationship to Dimensions of Abuse

Buy Article:

$29.00 + tax (Refund Policy)

A number of studies have described typologies of domestically violent men. Holtzworth-Munroe and Stuart (1994) recently proposed a theoretical model for predicting violence severity and generality from personality "type." The present study, using data from 833 identified abusive men, tested the model. Personality types were determined from cluster analysis of data from the Millon Clinical Multiaxial Inventory, and resulted in a three-cluster solution consistent with the Holtzworth-Munroe and Stuart model. The three main clusters included nonpathological, antisocial, and passive aggressive-dependent groups. Three other, smaller types were also identified. Multivariate and chi-square analyses comparing the main clusters on other variables generally supported the Holtzworth-Munroe and Stuart model. Nonpathological men had the lowest maximum violence and frequency. They restricted their violence primarily to intimate relationships and had the fewest police contacts. Antisocial and passive aggressive-dependent men did not differ in maximum violence, but antisocial men were the most generally violent and had the most police contacts. Passive aggressive-dependent men had the highest frequency of violence. Clinical, theoretical and methodological implications are discussed.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Document Type: Journal Article

Affiliations: 1: Department of Community and Family Medicine, Medical College of Wisconsin 2: Department of Psychology, University of Arkansas

Publication date: January 1, 1996

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more